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[Web] How to free webgpu gpu mem in onnxruntime web Title Only Issue Labeler #26: Issue #21574 edited by soyoapp
July 31, 2024 15:52 16s
July 31, 2024 15:52 16s
[Web] How to free webgpu gpu mem in onnxruntime web Title Only Issue Labeler #25: Issue #21574 opened by soyoapp
July 31, 2024 15:51 13s
July 31, 2024 15:51 13s
[Feature Request] please add static library to Release Title Only Issue Labeler #24: Issue #21572 opened by Baiyuetribe
July 31, 2024 09:46 10s
July 31, 2024 09:46 10s
Issue running a model in ONNXruntime Title Only Issue Labeler #23: Issue #21571 opened by nachoogriis
July 31, 2024 09:44 10s
July 31, 2024 09:44 10s
Microsoft.ML.OnnxRuntime.DirectML and Microsoft.AI.DirectML C++ API got incorrect masks result(detectron2 Mask r-cnn Model) on both Integrated and Discrete GPUs, but Python onnxruntime-directml is fine Title Only Issue Labeler #22: Issue #21560 edited by YOODS-Xu
July 31, 2024 04:40 10s
July 31, 2024 04:40 10s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #21: Issue #21562 edited by duanshengliu
July 31, 2024 02:10 11s
July 31, 2024 02:10 11s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #20: Issue #21562 edited by duanshengliu
July 31, 2024 02:09 9s
July 31, 2024 02:09 9s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #19: Issue #21562 edited by duanshengliu
July 31, 2024 02:06 9s
July 31, 2024 02:06 9s
[Build] Unable to build with --use_dml Title Only Issue Labeler #18: Issue #21568 opened by tranlm
July 30, 2024 23:11 10s
July 30, 2024 23:11 10s
Crash in TensorrtExecutionProvider when TensorRT EP fails to create engine from network Title Only Issue Labeler #17: Issue #21567 opened by frenetj
July 30, 2024 21:36 13s
July 30, 2024 21:36 13s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #16: Issue #21562 edited by duanshengliu
July 30, 2024 13:53 10s
July 30, 2024 13:53 10s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #15: Issue #21562 edited by duanshengliu
July 30, 2024 13:53 14s
July 30, 2024 13:53 14s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #14: Issue #21562 edited by duanshengliu
July 30, 2024 13:48 15s
July 30, 2024 13:48 15s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #13: Issue #21562 edited by duanshengliu
July 30, 2024 13:38 15s
July 30, 2024 13:38 15s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #12: Issue #21562 edited by duanshengliu
July 30, 2024 13:37 11s
July 30, 2024 13:37 11s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #11: Issue #21562 edited by duanshengliu
July 30, 2024 13:36 12s
July 30, 2024 13:36 12s
[Performance] When using per-channel quantization for models with large weight sizes, the process can be extremely slow Title Only Issue Labeler #10: Issue #21562 opened by duanshengliu
July 30, 2024 13:35 13s
July 30, 2024 13:35 13s
Microsoft.ML.OnnxRuntime.DirectML and Microsoft.AI.DirectML C++ API got incorrect masks result(detectron2 Mask r-cnn Model) on both Integrated and Discrete GPUs, but Python onnxruntime-directml is fine Title Only Issue Labeler #9: Issue #21560 edited by YOODS-Xu
July 30, 2024 07:35 11s
July 30, 2024 07:35 11s
Microsoft.ML.OnnxRuntime.DirectML and Microsoft.AI.DirectML C++ API got incorrect masks result(detectron2 Mask r-cnn Model) on both Integrated and Discrete GPUs, but Python onnxruntime-directml is fine Title Only Issue Labeler #8: Issue #21560 edited by YOODS-Xu
July 30, 2024 07:33 10s
July 30, 2024 07:33 10s
Microsoft.ML.OnnxRuntime.DirectML and Microsoft.AI.DirectML C++ API got incorrect masks result(detectron2 Mask r-cnn Model) on both Integrated and Discrete GPUs, but Python onnxruntime-directml is fine Title Only Issue Labeler #7: Issue #21560 edited by YOODS-Xu
July 30, 2024 07:19 14s
July 30, 2024 07:19 14s
Microsoft.ML.OnnxRuntime.DirectML and Microsoft.AI.DirectML C++ API got incorrect masks result(detectron2 Mask r-cnn Model) on both Integrated and Discrete GPUs, but Python onnxruntime-directml is fine Title Only Issue Labeler #6: Issue #21560 opened by YOODS-Xu
July 30, 2024 07:09 10s
July 30, 2024 07:09 10s
heap-buffer-overflow running address sanitizer on Min with float16 Title Only Issue Labeler #5: Issue #21558 edited by adamreeve
July 30, 2024 03:33 11s
July 30, 2024 03:33 11s
heap-buffer-overflow running address sanitizer on Min with float16 Title Only Issue Labeler #4: Issue #21558 edited by adamreeve
July 30, 2024 03:17 13s
July 30, 2024 03:17 13s
heap-buffer-overflow running address sanitizer on Min with float16 Title Only Issue Labeler #3: Issue #21558 edited by adamreeve
July 30, 2024 03:02 9s
July 30, 2024 03:02 9s
heap-buffer-overflow running address sanitizer on Min with float16 Title Only Issue Labeler #2: Issue #21558 opened by adamreeve
July 30, 2024 02:43 10s
July 30, 2024 02:43 10s
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